




'''simple docstring'''

def __UpperCAmelCase	(   _UpperCAmelCase		:   int						)      ->      int:
			__snake_case			=		abs(_UpperCAmelCase						)
			__snake_case			=		0
			while n > 0:
						res += n % 10
						n //= 10
			return res


def __UpperCAmelCase	(   _UpperCAmelCase		:   int						)      ->      int:
			__snake_case			=		abs(_UpperCAmelCase						)
			return n if n < 10 else n % 10 + sum_of_digits(n // 10						)


def __UpperCAmelCase	(   _UpperCAmelCase		:   int						)      ->      int:
			return sum(int(_UpperCAmelCase						) for c in str(abs(_UpperCAmelCase						)						)						)


def __UpperCAmelCase	(   )      ->      None:
			from collections.abc import Callable
			from timeit import timeit

			def benchmark_a_function(_UpperCAmelCase		:   Callable		,				_UpperCAmelCase		:   int						) -> None:
						__snake_case			=		F'''{func.__name__}({value})'''
						__snake_case			=		timeit(F'''__main__.{call}'''		,				setup="import __main__"						)
						print(F'''{call:56} = {func(_UpperCAmelCase						)} -- {timing:.4f} seconds'''						)

			for value in (26_21_44, 11_25_89_99_06_84_26_24, 1_26_76_50_60_02_28_22_94_01_49_67_03_20_53_76):
						for func in (sum_of_digits, sum_of_digits_recursion, sum_of_digits_compact):
									benchmark_a_function(_UpperCAmelCase		,				_UpperCAmelCase						)
						print()


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						benchmark()









'''simple docstring'''


import tempfile
import unittest

from make_student import create_student_by_copying_alternating_layers

from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch


UpperCAmelCase_						:  List[Any]				  =						'sshleifer/bart-tiny-random'
UpperCAmelCase_						:  Tuple				  =						'patrickvonplaten/t5-tiny-random'





@require_torch
class        lowercase__    (		unittest.TestCase   ):





							'''simple docstring'''


							@cached_property
							def UpperCAmelCase_      (       self    ):
											return AutoConfig.from_pretrained(__snake_case    )






							def UpperCAmelCase_      (       self    ):
											_SCREAMING_SNAKE_CASE						,			*_SCREAMING_SNAKE_CASE					:			int							= create_student_by_copying_alternating_layers(__snake_case       ,   tempfile.mkdtemp()       ,   e=1       ,   d=1    )
											self.assertEqual(student.config.num_hidden_layers       ,   1    )






							def UpperCAmelCase_      (       self    ):
											_SCREAMING_SNAKE_CASE						,			*_SCREAMING_SNAKE_CASE					:			int							= create_student_by_copying_alternating_layers(__snake_case       ,   tempfile.mkdtemp()       ,   e=1       ,   d=__snake_case    )






							def UpperCAmelCase_      (       self    ):
											_SCREAMING_SNAKE_CASE						,			*_SCREAMING_SNAKE_CASE					:			str							= create_student_by_copying_alternating_layers(__snake_case       ,   tempfile.mkdtemp()       ,   e=1       ,   d=__snake_case    )
											self.assertEqual(student.config.encoder_layers       ,   1    )
											self.assertEqual(student.config.decoder_layers       ,   self.teacher_config.encoder_layers    )






							def UpperCAmelCase_      (       self    ):
											_SCREAMING_SNAKE_CASE						,			*_SCREAMING_SNAKE_CASE					:			Union[str, Any]							= create_student_by_copying_alternating_layers(__snake_case       ,   tempfile.mkdtemp()       ,   e=1       ,   d=1    )
											self.assertEqual(student.config.encoder_layers       ,   1    )
											self.assertEqual(student.config.decoder_layers       ,   1    )






							def UpperCAmelCase_      (       self    ):
											with self.assertRaises(__snake_case    ):
															create_student_by_copying_alternating_layers(__snake_case       ,   tempfile.mkdtemp()       ,   e=__snake_case       ,   d=__snake_case    )




